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Freelancer Overview
I have solid hands-on experience preparing high-quality training data for machine learning models, working with annotation types like image bounding boxes, polygon segmentation, text classification, and audio transcription. Proficient with labeling platforms such as Labelbox or Supervisely, you consistently meet accuracy and throughput targets, contribute to annotation guideline refinements, and help resolve edge cases. My role has also involved quality assurance, basic metric tracking (e.g., inter-annotator agreement), and occasional model-assisted labeling, positioning you as a reliable bridge between raw data and model improvement ready for senior labeler or junior coordination roles.